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Cisco Workload Optimization Manager (WOM) vs. IBM Z Workload Scheduler

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Cisco Workload Optimization Manager (WOM)

    Score8.9 out of 10
    N/ACisco Workload Optimization Manager drives continuous health in dynamic data center environments, whether on-premises or in a public cloud. The real‑time decision engine provides automatable actions that adjust infrastructure resources at every layer of the stack to ensure the performance of your applications. When your infrastructure is continuously performant, your teams can focus on what matters to the business.N/A

    IBM Z Workload Scheduler

    N/AN/AIBM Z Workload Scheduler expands the scope for automating data processing (DP) operations. It plans and automatically schedules the production workload.N/A
    Pricing
    Cisco Workload Optimization Manager (WOM)IBM Z Workload Scheduler
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Cisco Workload Optimization Manager (WOM)IBM Z Workload Scheduler
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Features
    Cisco Workload Optimization Manager (WOM)IBM Z Workload Scheduler
    Workload Automation
    Comparison of Workload Automation features of Cisco Workload Optimization Manager (WOM) and IBM Z Workload Scheduler
    Feature
    Cisco Workload Optimization Manager (WOM)
    8.6
    5 Ratings
    IBM Z Workload Scheduler
    -
    Ratings
    Multi-platform scheduling8.45 Ratings00 Ratings
    Central monitoring9.25 Ratings00 Ratings
    Logging8.15 Ratings00 Ratings
    Alerts and notifications8.95 Ratings00 Ratings
    Analysis and visualization8.95 Ratings00 Ratings
    Application integration8.05 Ratings00 Ratings
    User Ratings
    Cisco Workload Optimization Manager (WOM)IBM Z Workload Scheduler
    Likelihood to Recommend
    8.9
    (5 ratings)
    -
    (0 ratings)